When working with data you must:\r Figure out what you want to do.\r Describe those tasks in the form of a\r computer program.\r Execute the program.\rThe dplyr package makes these steps fast and easy:\r By constraining your options, it simplifies\r how you can think about common data \r manipulation tasks.\r It provides simple “verbs”, functions that \r correspond to the most common data \r manipulation tasks, to help you \r translate those thoughts into code.\r It uses efficient data storage backends, \r so you spend less time waiting for the \r computer.\r\rThis document introduces you to dplyr’s basic set of tools, and shows you how to apply them to data frames.
CITATION STYLE
L. Jockers, M., & Thalken, R. (2020). Introduction to dplyr (pp. 121–132). https://doi.org/10.1007/978-3-030-39643-5_11
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